Mid Level Quantitative Research Analyst Jobs
Mid level quantitative research analyst jobs go to analysts ready to own research projects end to end, translate complex models into actionable insights, and guide junior team members without needing day-to-day direction. Openings run across Investment & Asset Management, Banking & Financial Services, and Fintech, with a strong mix of on-site, hybrid, and remote roles, and employers like JPMorganChase, Apple, and PIMCO hiring at this level now.
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Apple is seeking a Quantitative User Researcher to join our team supporting the design and execution of user studies that validate the performance of Apple products. In this role, you will partner closely with engineering, design, research operations, and study facilitator teams to design and implement research studies that directly inform product decisions. Your work will directly shape products used by hundreds of millions of people worldwide.
Description
This role operates at the intersection of various disciplines, necessitating collaboration with highly technical partners, rapid adaptation to new domains, and simultaneous management of multiple projects. It demands both scientific expertise and the ability to translate intricate technical requirements into well-designed human subjects research. Success in this role entails translating a deep understanding of how users, use cases, and user behaviors influence product performance into actionable data that informs product decisions.
Minimum Qualifications
- Advanced degree (M.S.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field — or equivalent practical experience
- 5+ years industry experience, with demonstrated history of designing and executing controlled human subjects studies
- Strong proficiency in statistical analysis (e.g., regression, ANOVA)
- Proficiency with data processing and statistical tools such as R or Python
- Excellent written and verbal communication skills, with the ability to present technical findings to diverse audiences
Preferred Qualifications
- Advanced degree (PhD.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field — or equivalent practical experience
- 3+ years industry experience, with demonstrated history of designing and executing controlled human subjects studies
- Background in biometric measurement, wearables studies, or product performance benchmarking
- Ability to craft compelling, audience-tailored presentations that distill complex data into clear narratives
- Experience leveraging AI tools to accelerate study design, analysis, and insights synthesis
- Experience working in cross-functional product development environments alongside engineering and design teams
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
Apple is seeking a Quantitative User Researcher to join our team supporting the design and execution of user studies that validate the performance of Apple products. In this role, you will partner closely with engineering, design, research operations, and study facilitator teams to design and implement research studies that directly inform product decisions. Your work will directly shape products used by hundreds of millions of people worldwide.
Description
This role operates at the intersection of various disciplines, necessitating collaboration with highly technical partners, rapid adaptation to new domains, and simultaneous management of multiple projects. It demands both scientific expertise and the ability to translate intricate technical requirements into well-designed human subjects research. Success in this role entails translating a deep understanding of how users, use cases, and user behaviors influence product performance into actionable data that informs product decisions.
Minimum Qualifications
- Advanced degree (M.S.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field — or equivalent practical experience
- 5+ years industry experience, with demonstrated history of designing and executing controlled human subjects studies
- Strong proficiency in statistical analysis (e.g., regression, ANOVA)
- Proficiency with data processing and statistical tools such as R or Python
- Excellent written and verbal communication skills, with the ability to present technical findings to diverse audiences
Preferred Qualifications
- Advanced degree (PhD.) in Biomedical Engineering, Human Factors, Experimental Psychology, HCI, or a related field — or equivalent practical experience
- 3+ years industry experience, with demonstrated history of designing and executing controlled human subjects studies
- Background in biometric measurement, wearables studies, or product performance benchmarking
- Ability to craft compelling, audience-tailored presentations that distill complex data into clear narratives
- Experience leveraging AI tools to accelerate study design, analysis, and insights synthesis
- Experience working in cross-functional product development environments alongside engineering and design teams
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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Mid Level Quantitative Research Analyst Jobs: Frequently Asked Questions
How do I get a mid level quantitative research analyst job?
Position yourself around ownership: highlight research you designed and executed independently, not just tasks you contributed to. Emphasize the decisions your models or analyses informed and any cross-functional collaboration you led. Strong candidates at this level show command of statistical methodology, programming proficiency, and the ability to communicate findings to non-technical stakeholders. Tailor each application to the specific domain the employer works in.
Which companies hire mid level quantitative research analysts?
Companies hiring mid level quantitative research analysts right now include JPMorganChase, Apple, and PIMCO, based on current listings on Migrate Mate as of November 2026. At this level, hiring covers investment management firms, technology companies, financial services institutions, and research-driven organizations that run ongoing quantitative programs rather than one-off projects.
Are there remote mid level quantitative research analyst jobs?
Yes, though availability varies by employer and sector. About 13% of mid level quantitative research analyst openings are remote or hybrid as of November 2026, reflecting how much of this work centers on data and modeling rather than in-person collaboration. Fully remote roles tend to be more common at technology firms and data-intensive financial companies.
How do I move up to a mid level quantitative research analyst role?
The path from entry level to mid level is built through progressively independent work. Start by deepening your technical foundation in statistics, programming languages like Python or R, and domain-specific modeling techniques. Seek out projects where you own a deliverable, not just a task. Demonstrating measurable impact, such as a model that improved a decision process, signals readiness for mid level responsibility more convincingly than tenure alone.
Which industries hire the most mid level quantitative research analysts?
Mid Level quantitative research analyst roles concentrate in Investment & Asset Management, Banking & Financial Services, and Fintech, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they rely on rigorous data analysis and predictive modeling to inform high-stakes decisions, creating ongoing need for analysts who can work with minimal oversight.